Daily trade alerts for TRX

Intro

In the backtesting analysis, I have established several different profitable strategies for timing entry/exits. Visit the TRX page to see how these signals were identified.

1. Simple moving average (SMA)

2. Exponential moving average (EMA)

3. SMA crosses

4. EMA crosses

5. Directional movement index (DMI)

6. True strength index (TSI) BEST

7. Stochastic oscillator (stoch)

8. Double RSI

9. Donchian channel

10. Ensembl indicator

This script will examine the price action and these trade signals just before the daily close. If the signal is TRUE, it is bullish and if FALSE it is bearish. When there is a switch from bearish to bullish it is a buy signal and when it switches from bullish to bearish it is a sell signal. This HTML is updated just before the daily close each day, but push notifications for any trade signals are also sent by push bullet.

To receive these signals in real-time, subscribe to the following channels - it’s free for a limited time!

https://www.pushbullet.com/channel?tag=trx_signal

If you need some help to design your own trading signals/strategies, I am happy to help for a fee. email me at mark.ziemann{αt}gmail.com for any enquiries/suggestions/feedback.

This report is distributed for FREE under the MIT licence, but if you find it useful, consider a small tip.

Reminder: this analysis is not financial advice.

suppressPackageStartupMessages({
  library("jsonlite")
  library("tidyverse")
  library("runner")
  library("quantmod")
  library("TTR")
  library("RPushbullet")
  library("kableExtra")
})

TESTING = FALSE

MYNOTE = NULL

mydate <- Sys.time()
attr(mydate, "tzone") <- "UTC"
mydate <- as.Date(mydate)

Get TRX parameters

params <- read.table("https://mdz-analytics.com/coins/TRX/TRX_dat.txt", header=TRUE)
params %>% kbl(caption="optimised backtested parameters") %>%  kable_styling("hover", full_width = F)

Get TRX price data

Obtaining TRX price data (daily) for the last 300 days and today’s price.

URL="https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?symbol=TRX&convert=USD&interval=daily&count=300"
download.file(URL,destfile="trxdat.txt")
trxdat <- fromJSON("trxdat.txt")
price <- trxdat$data$quotes
price <- data.frame(  as.Date(price$time_close) , price$quote$USD$high, price$quote$USD$low, price$quote$USD$close)
colnames(price) <- c("date","high","low","close")

URL="https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?symbol=TRX&convert=USD&interval=hourly&time_period=hourly&count=11"
download.file(URL,destfile="trxdat.txt")
trxdat <- fromJSON("trxdat.txt")
price2 <- trxdat$data$quotes
price2 <- data.frame( as.Date(price2$time_close) , price2$quote$USD$high, price2$quote$USD$low, price2$quote$USD$close,stringsAsFactors=FALSE)
colnames(price2) <- c("date","high","low","close")

high <- max(price2[,2])
low <-  min(price2[,3])
close <- price2[nrow(price2),4]

df <- data.frame(date=mydate,high=high,low=low,close=close,stringsAsFactors=FALSE)
price <- rbind(price,df)
tail(price) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

if ( TESTING == TRUE) {
  price[nrow(price),"Close"] <- price[nrow(price),"Close"] * 2
}

TRX SMA indicator

Now to determine whether TRX has crossed the SMA line.

price2 <- price

n <- as.numeric(params[params$indicator == "SMA",2])

price2$ma <- SMA(Cl(price2),n=n)
price2$signal <- price2$close > price2$ma
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_SMA=TRUE
} else {
  ens_SMA=FALSE
}

message(paste("TRX SMA signal:",trx_signal))

## TRX SMA signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="TRX w SMA")
grid()
lines(price2$ma~ as.Date(price2$date) ,col="red")

if ( trx_signal != "NONE") {
  MYNOTE <- paste("The TRX SMA signal is", trx_signal,".")
}

TRX EMA indicator

Now to determine whether TRX has crossed the EMA line.

price2 <- price

n <- as.numeric(params[params$indicator == "EMA",2])

price2$ma <- EMA(Cl(price2),n=n)
price2$signal <- price2$close > price2$ma
tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
  trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_EMA=TRUE
} else {
  ens_EMA=FALSE
}

message(paste("TRX EMA signal:",trx_signal))

## TRX EMA signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="TRX EMA")
grid()
lines(price2$ma~ as.Date(price2$date) ,col="red")

if ( trx_signal != "NONE") {
  MYNOTE <- paste("The TRX EMA signal is", trx_signal,".")
}

TRX SMA cross indicator

The SMA cross is a reasonably good strategy.

price2 <- price

n <- as.numeric(unlist(strsplit(params[params$indicator == "SMAcross",2],",")))
n1 <- n[1]
n2 <- n[2]

price2$ma1 <- SMA(Cl(price2),n=n1)
price2$ma2 <- SMA(Cl(price2),n=n2)

price2$signal <- price2$ma2 > price2$ma1
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_SMAcross=TRUE
} else {
  ens_SMAcross=FALSE
}

message(paste("TRX SMA cross signal:",trx_signal))

## TRX SMA cross signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="TRX w SMA cross")
grid()
lines(price2$ma1~ as.Date(price2$date) ,col="red")
lines(price2$ma2~ as.Date(price2$date) ,col="blue")

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE, "The TRX SMA cross signal is", trx_signal,".")
}

TRX EMA cross indicator

The EMA cross is a moderately profitable strategy.

price2 <- price

n <- as.numeric(unlist(strsplit(params[params$indicator == "EMAcross",2],",")))
n1 <- n[1]
n2 <- n[2]

price2$ma1 <- EMA(Cl(price2),n=n1)
price2$ma2 <- EMA(Cl(price2),n=n2)

price2$signal <- price2$ma2 > price2$ma1
tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
  trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_EMAcross=TRUE
} else {
  ens_EMAcross=FALSE
}

message(paste("TRX EMA cross signal is",trx_signal))

## TRX EMA cross signal is NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="TRX EMA cross")
grid()
lines(price2$ma1~ as.Date(price2$date) ,col="red")
lines(price2$ma2~ as.Date(price2$date) ,col="blue")

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE, "The TRX EMA cross signal is", trx_signal,".")
}

TRX DMI indicator

Directional movement indicator is a good approach to identify trend changes.

n <- as.numeric(params[params$indicator == "DMI",2])

dmi.adx <- ADX(price[,c("high","low","close")],n=n)
price2 <- cbind(price,dmi.adx)
price2$signal <- dmi.adx[,1] > dmi.adx[,2]
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
  trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_DMI=TRUE
} else {
  ens_DMI=FALSE
}

message(paste("TRX DMI signal:",trx_signal))

## TRX DMI signal: NONE

price2 <- as.data.frame(price2)
par(mfrow=c(2,1))
plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="TRX USD price")
grid()
plot(price2$DIp~as.Date(price2$date),type="l", col="blue",
  xlab="Date",ylab="price (USD)",main="TRX DMI")
grid()
lines(price2$DIn ~ as.Date(price2$date) ,col="red")

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"TRX DMI signal is", trx_signal,".")
}

TRX TSI indicator

True Strength Indicator is one of the more profitable approaches. Its success lies in how it changes rapidly when momentum shifts. For most coins, this indicator performs “best” in backtesting analysis, which means it should carry relatively more weight than other indicators.

n <- as.numeric(unlist(strsplit(params[params$indicator == "TSI",2],",")))
n1 <- n[1]
n2 <- n[2]
ns <- n[3]

TSI <- function(x, n.first = 25, n.second = 13, n.signal = 7) {
  #True Strength Indicator
  #https://school.stockcharts.com/doku.php?id=technical_indicators:true_strength_index
  x <- try.xts(x, error = as.matrix)
  pc <- x - lag.xts(x, na.pad = T) #force lag.xts to get na padding
  dspc <- EMA(EMA(pc, n = n.first), n = n.second)
  dsapc <- EMA(EMA(abs(pc), n = n.first), n = n.second)

  tsi <- 100 * (dspc/dsapc)
  signal <- EMA(tsi, n = n.signal)
  r <- cbind(tsi, signal)
  r <- reclass(r, x)
  if (!is.null(dim(r))) colnames(r) <- c("tsi", "signal")
  return(r)
}

tsi <- TSI(price$close , n.first = n1, n.second = n2, n.signal = ns )
colnames(tsi) <- c("tsi","sig")

price2 <- cbind(price,tsi)
price2$signal <- tsi[,1] > tsi[,2]
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
  trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_TSI=TRUE
} else {
  ens_TSI=FALSE
}

message(paste("TRX TSI signal:",trx_signal))

## TRX TSI signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(tsi[,1] ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="TSI",main="TSI")
lines(as.Date(price2$date), tsi[,2]  , col="red"  )
grid()

par(mfrow=c(1,1))

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"TRX TSI signal is", trx_signal,".")
}

TRX stochastic oscillator indicator

Similar to the TSI, the stoch can pinpoint early changes in momentum, however it may give many false positives.

n <- as.numeric(unlist(strsplit(params[params$indicator == "stoch",2],",")))
n1 <- n[1]
n2 <- n[2]
n3 <- n[3]

sto <- stoch(HLC(price), nFastK=n1 , nFastD=n2 , nSlowD=n2 , bounded = TRUE, smooth=n3)

price2 <- cbind(price,sto)
price2$signal <- price2$fastK > price2$fastD

tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
  trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_stoch=TRUE
} else {
  ens_stoch=FALSE
}

message(paste("TRX stoch signal:",trx_signal))

## TRX stoch signal: SELL

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$fastK ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="index",main="stochastic oscillator")
lines(as.Date(price2$date), price2$fastD  , col="red"  )
grid()

par(mfrow=c(1,1))

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"TRX Stoch signal is", trx_signal,".")
}

TRX double RSI indicator

Double RSI is simply two RSI lines.

n <- as.numeric(unlist(strsplit(params[params$indicator == "RSI2",2],",")))
n1 <- n[1]
n2 <- n[2]

rsi1 <- RSI(price$close,n=n1,maType=EMA)
rsi2 <- RSI(price$close,n=n2,maType=EMA)

price2 <- cbind(price,rsi1,rsi2)
price2$signal <- price2$rsi1 > price2$rsi2

tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    trx_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    trx_signal="SELL"
  }
} else {
  trx_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_RSI2=TRUE
} else {
  ens_RSI2=FALSE
}

message(paste("TRX RSI signal:",trx_signal))

## TRX RSI signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$rsi1 ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="index",main="double RSI")
lines(as.Date(price2$date), price2$rsi2  , col="red"  )
grid()

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$rsi1/price2$rsi2 ~ as.Date(price2$date),type="l",
  xlab="Date",ylab="RSI ratio",main="double RSI")
grid()
abline(h=1,lty=2,lwd=2)

par(mfrow=c(1,1))

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"TRX RSI2 signal is", trx_signal,".")
}

TRX Donchian channel indicator

n <- as.numeric(params[params$indicator == "DC",2])

price2 <- price[1:nrow(price)-1,]
dc <- DonchianChannel(price2$close,n=n)

price2$higher <- c(NA,sapply(2:nrow(dc),function(i) {
  dc[i,"high"] > dc[(i-1),"high"]
} ))
price2$lower <- c(NA,sapply(2:nrow(dc),function(i) {
  dc[i,"low"] < dc[(i-1),"low"]
} ))
price2 <- price2[price2$higher != price2$lower,]
# show changing rows only
price2 <- price2[c(NA,unlist(lapply(2:nrow(price2) , function(i) {
  price2$higher[i] != price2$higher[i-1]
}))),]
price2 <- price2[!is.na(price2$higher),]

previous_signal <- price2[nrow(price2),"higher"]

price2 <- price
dc <- DonchianChannel(price2$close,n=n)
colnames(dc) <- c("dchigh","dcmid","dclow")
price2 <- cbind(price2,dc)

tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

trx_signal="NONE"

# if we in negative territory, check whether time to buy
if ( previous_signal == FALSE ) {
  if ( price2[nrow(price2),"dchigh"] > price2[nrow(price2)-1,"dchigh"] ) {
    trx_signal="BUY"
  }
}

# if we in positive territory, check whether time to sell
if ( previous_signal == TRUE ) {
  if ( price2[nrow(price2),"dclow"] < price2[nrow(price2)-1,"dclow"] ) {
    trx_signal="SELL"
  }
}

if ( trx_signal=="NONE" ) {
  today_signal=previous_signal
} else {
  if (trx_signal=="BUY") { today_signal = TRUE }
  if (trx_signal=="SELL") { today_signal = FALSE }
}

if (today_signal==TRUE) {
  ens_DC=TRUE
} else {
  ens_DC=FALSE
}

message(paste("TRX DC signal:",trx_signal))

## TRX DC signal: NONE

plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price",lwd=2)
grid()

lines(price2$dclow~ as.Date(price2$date),lwd=1.5,col="red")
lines(price2$dchigh~ as.Date(price2$date),lwd=1.5,col="limegreen")

price2 <- tail(price2,100)

plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price",lwd=2)
grid()

lines(price2$dclow~ as.Date(price2$date),lwd=1.5,col="red")
lines(price2$dcmid~ as.Date(price2$date),lwd=1.5,col="gray")
lines(price2$dchigh~ as.Date(price2$date),lwd=1.5,col="limegreen")

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"TRX Donchian channel signal is", trx_signal,".")
}

TRX Ensemble indicator

This is a combination of a number of indicators.

ens <- params[params$indicator=="Ensemble","parameter"]
myrev <- intToUtf8(rev(utf8ToInt(ens)))
myrev <- unlist(strsplit(myrev,","))
# get thresh
n <- as.numeric(myrev[1])
myrev <- myrev[2:length(myrev)]
# get combination
combo <- sapply(myrev,function(s) { intToUtf8(rev(utf8ToInt(s))) })

message(paste("The combination is",paste(combo,collapse=" ")))

## The combination is stoch TSI SMAcross

message(paste("The buy threshold is",n))

## The buy threshold is 3

indicators <- c("SMA"=ens_SMA,
  "EMA"=ens_EMA,
  "SMAcross"=ens_SMAcross,
  "EMAcross"=ens_EMAcross,
  "DMI"=ens_DMI,
  "TSI"=ens_TSI,
  "stoch"=ens_stoch,
  "RSI2"=ens_RSI2,
  "DC"=ens_DC)

indicators <- indicators[names(indicators) %in% combo]
message("State of the indicators:")

## State of the indicators:

indicators

## SMAcross      TSI    stoch 
##    FALSE    FALSE    FALSE

today_count <- sum(indicators)
message(paste("today_count_TRX",today_count,sep="="))

## today_count_TRX=0

today_signal <- today_count>=n

prev_html <- readLines("https://mdz-analytics.com/coins/TRX/alerts_TRX.html")
prev_signal <- length(grep("TRX ensemble indicator is BULLISH",prev_html))>2

trx_signal <- "NONE"

if ( today_signal != prev_signal ) {
  if ( today_signal == TRUE ) {
    trx_signal="BUY"
  } else {
    trx_signal="SELL"
  }
}

if (today_signal==TRUE) {
  message("TRX ensemble indicator is BULLISH")
} else {
  message("TRX ensemble indicator is BEARISH")
}

## TRX ensemble indicator is BEARISH

message(paste("TRX ENS signal:",trx_signal))

## TRX ENS signal: NONE

if ( trx_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"TRX Ensemble indicator is", trx_signal,".")
}

Send a push notification.

MYNOTE

## [1] " TRX Stoch signal is SELL ."

if ( !is.null(MYNOTE) ) {
  MYNOTE <- paste(MYNOTE, ". Visit https://mdz-analytics.com/coins/TRX/alerts_TRX.html for the details")
  MYNOTE
  pbPost("note", "Crypto Alert", MYNOTE ,channel="trx_signal")
}

Session information

For reproducibility

sessionInfo()

## R version 4.1.2 (2021-11-01)
## Platform: aarch64-unknown-linux-gnu (64-bit)
## Running under: Ubuntu 22.04.1 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/aarch64-linux-gnu/blas/libblas.so.3.10.0
## LAPACK: /usr/lib/aarch64-linux-gnu/lapack/liblapack.so.3.10.0
## 
## locale:
##  [1] LC_CTYPE=en_AU.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_AU.UTF-8        LC_COLLATE=en_AU.UTF-8    
##  [5] LC_MONETARY=en_AU.UTF-8    LC_MESSAGES=en_AU.UTF-8   
##  [7] LC_PAPER=en_AU.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] kableExtra_1.3.4  RPushbullet_0.3.4 quantmod_0.4.20   TTR_0.24.3       
##  [5] xts_0.12.1        zoo_1.8-10        runner_0.4.1      forcats_0.5.1    
##  [9] stringr_1.4.0     dplyr_1.0.9       purrr_0.3.4       readr_2.1.2      
## [13] tidyr_1.2.0       tibble_3.1.8      ggplot2_3.3.6     tidyverse_1.3.2  
## [17] jsonlite_1.8.0   
## 
## loaded via a namespace (and not attached):
##  [1] httr_1.4.4          sass_0.4.2          viridisLite_0.4.0  
##  [4] modelr_0.1.8        bslib_0.4.0         assertthat_0.2.1   
##  [7] highr_0.9           googlesheets4_1.0.1 cellranger_1.1.0   
## [10] yaml_2.3.5          pillar_1.8.0        backports_1.4.1    
## [13] lattice_0.20-45     glue_1.6.2          digest_0.6.29      
## [16] rvest_1.0.2         colorspace_2.0-3    htmltools_0.5.3    
## [19] pkgconfig_2.0.3     broom_1.0.0         haven_2.5.0        
## [22] bookdown_0.28       scales_1.2.0        webshot_0.5.3      
## [25] svglite_2.1.0       tzdb_0.3.0          googledrive_2.0.0  
## [28] generics_0.1.3      ellipsis_0.3.2      cachem_1.0.6       
## [31] withr_2.5.0         cli_3.3.0           magrittr_2.0.3     
## [34] crayon_1.5.1        readxl_1.4.1        evaluate_0.16      
## [37] fs_1.5.2            fansi_1.0.3         xml2_1.3.3         
## [40] tools_4.1.2         hms_1.1.1           gargle_1.2.0       
## [43] lifecycle_1.0.1     munsell_0.5.0       reprex_2.0.2       
## [46] compiler_4.1.2      jquerylib_0.1.4     systemfonts_1.0.4  
## [49] rlang_1.0.4         grid_4.1.2          rstudioapi_0.13    
## [52] rmarkdown_2.15      gtable_0.3.0        DBI_1.1.3          
## [55] curl_4.3.2          R6_2.5.1            lubridate_1.8.0    
## [58] knitr_1.39          fastmap_1.1.0       utf8_1.2.2         
## [61] stringi_1.7.8       parallel_4.1.2      rmdformats_1.0.4   
## [64] Rcpp_1.0.9          vctrs_0.4.1         dbplyr_2.2.1       
## [67] tidyselect_1.1.2    xfun_0.32